Peilan He

628 total citations · 1 hit paper
16 papers, 403 citations indexed

About

Peilan He is a scholar working on Transportation, Building and Construction and Industrial and Manufacturing Engineering. According to data from OpenAlex, Peilan He has authored 16 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Transportation, 9 papers in Building and Construction and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Peilan He's work include Traffic Prediction and Management Techniques (7 papers), Transportation Planning and Optimization (6 papers) and Human Mobility and Location-Based Analysis (5 papers). Peilan He is often cited by papers focused on Traffic Prediction and Management Techniques (7 papers), Transportation Planning and Optimization (6 papers) and Human Mobility and Location-Based Analysis (5 papers). Peilan He collaborates with scholars based in Singapore and China. Peilan He's co-authors include Guiyuan Jiang, Siew-Kei Lam, Dihao Ai, Chengwu Li, Yidan Sun, Dehua Tang, Changhai Ou, Jigang Wu and Xinwang Liu and has published in prestigious journals such as Information Sciences, IEEE Transactions on Intelligent Transportation Systems and Automation in Construction.

In The Last Decade

Peilan He

16 papers receiving 390 citations

Hit Papers

Computer vision framework for crack detection of civil in... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Computer vision framework for crack detection of civil infrastructure—A review
    2022 171 citations Dihao Ai, Guiyuan Jiang et al. Engineering Applications of Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peilan He Singapore 9 179 144 125 45 38 16 403
Mohamed Kaseko United States 8 228 1.3× 154 1.1× 138 1.1× 62 1.4× 197 5.2× 20 460
Przemysław Sekuła Poland 6 77 0.4× 104 0.7× 32 0.3× 29 0.6× 24 0.6× 16 354
Xianbao Peng China 10 170 0.9× 88 0.6× 47 0.4× 143 3.2× 13 0.3× 12 375
Inmaculada Gallego Spain 14 157 0.9× 175 1.2× 215 1.7× 177 3.9× 98 2.6× 30 500
Lorenzo De Donato Sweden 6 56 0.3× 60 0.4× 35 0.3× 59 1.3× 33 0.9× 6 255
Zhiyuan Lin United Kingdom 6 46 0.3× 71 0.5× 96 0.8× 81 1.8× 28 0.7× 20 309
Shuyang Zhang China 9 36 0.2× 54 0.4× 158 1.3× 25 0.6× 73 1.9× 35 503
Sadko Mandžuka Croatia 11 28 0.2× 115 0.8× 130 1.0× 17 0.4× 113 3.0× 52 337
Ho-Yon Hwang South Korea 11 162 0.9× 17 0.1× 73 0.6× 55 1.2× 46 1.2× 35 455
Isabel M. Ribeiro Portugal 10 73 0.4× 55 0.4× 36 0.3× 91 2.0× 80 2.1× 26 381

Countries citing papers authored by Peilan He

Since Specialization
Citations

This map shows the geographic impact of Peilan He's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peilan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peilan He more than expected).

Fields of papers citing papers by Peilan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peilan He. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peilan He. The network helps show where Peilan He may publish in the future.

Co-authorship network of co-authors of Peilan He

This figure shows the co-authorship network connecting the top 25 collaborators of Peilan He. A scholar is included among the top collaborators of Peilan He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peilan He. Peilan He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Sun, Yidan, Guiyuan Jiang, Xinwang Liu, Peilan He, & Siew-Kei Lam. (2024). Layer Sequence Extraction of Optimized DNNs Using Side-Channel Information Leaks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(10). 3102–3115. 1 indexed citations
2.
Sun, Yidan, Siew-Kei Lam, Guiyuan Jiang, & Peilan He. (2024). Streamlining DNN Obfuscation to Defend Against Model Stealing Attacks. 1–5. 2 indexed citations
3.
He, Peilan, et al.. (2022). Exploring Public Transport Transfer Opportunities for Pareto Search of Multicriteria Journeys. IEEE Transactions on Intelligent Transportation Systems. 23(12). 22895–22908. 4 indexed citations
4.
Ai, Dihao, Guiyuan Jiang, Siew-Kei Lam, Peilan He, & Chengwu Li. (2022). Computer vision framework for crack detection of civil infrastructure—A review. Engineering Applications of Artificial Intelligence. 117. 105478–105478. 171 indexed citations breakdown →
5.
He, Peilan, Guiyuan Jiang, Siew-Kei Lam, & Yidan Sun. (2022). ML-MMAS: Self-learning ant colony optimization for multi-criteria journey planning. Information Sciences. 609. 1052–1074. 14 indexed citations
6.
Sun, Yidan, et al.. (2022). Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency. Applied Soft Computing. 124. 108977–108977. 2 indexed citations
7.
Sun, Yidan, Guiyuan Jiang, Siew-Kei Lam, & Peilan He. (2021). Learning Traffic Network Embeddings for Predicting Congestion Propagation. IEEE Transactions on Intelligent Transportation Systems. 23(8). 11591–11604. 10 indexed citations
8.
Sun, Yidan, Guiyuan Jiang, Siew-Kei Lam, & Peilan He. (2021). Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach. DR-NTU (Nanyang Technological University). 3031–3037. 3 indexed citations
9.
Jiang, Guiyuan, et al.. (2021). Passenger-centric vehicle routing for first-mile transportation considering request uncertainty. Information Sciences. 570. 241–261. 14 indexed citations
10.
Sun, Yidan, Peilan He, Guiyuan Jiang, & Siew-Kei Lam. (2021). Learning Congestion Propagation Behaviors for Traffic Prediction. DR-NTU (Nanyang Technological University). 33. 2175–2180. 1 indexed citations
11.
Jiang, Guiyuan, Siew-Kei Lam, Peilan He, Changhai Ou, & Dihao Ai. (2020). A Multi-Scale Attributes Attention Model for Transport Mode Identification. IEEE Transactions on Intelligent Transportation Systems. 23(1). 152–164. 17 indexed citations
12.
Ai, Dihao, Guiyuan Jiang, Siew-Kei Lam, Peilan He, & Chengwu Li. (2020). Automatic pixel-wise detection of evolving cracks on rock surface in video data. Automation in Construction. 119. 103378–103378. 32 indexed citations
13.
He, Peilan, Guiyuan Jiang, Siew-Kei Lam, & Yidan Sun. (2019). Learning heterogeneous traffic patterns for travel time prediction of bus journeys. Information Sciences. 512. 1394–1406. 50 indexed citations
14.
Jiang, Guiyuan, et al.. (2019). Peak-Hour Vehicle Routing for First-Mile Transportation: Problem Formulation and Algorithms. IEEE Transactions on Intelligent Transportation Systems. 21(8). 3308–3321. 18 indexed citations
15.
He, Peilan, Guiyuan Jiang, Siew-Kei Lam, & Dehua Tang. (2018). Travel-Time Prediction of Bus Journey With Multiple Bus Trips. IEEE Transactions on Intelligent Transportation Systems. 20(11). 4192–4205. 60 indexed citations
16.
Jiang, Guiyuan, et al.. (2016). Efficient algorithm for energy-aware virtual network embedding. Tsinghua Science & Technology. 21(4). 407–414. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026